Years of Experience: 3 to 6 years Design, build, and maintain robust, scalable data pipelines for ingestion, transformation, and delivery of data across systems. Develop and optimize ETL/ELT workflows using Python and SQL, ensuring efficiency, reliability, and performance at scale. Build and manage large-scale data processing jobs using Apache Spark. Design and implement data warehousing solutions, including data models (dimensional/relational) that support analytics and reporting needs.